Time-of-Day Choice Modeling for Long-Distance Trips
During the past two decades, increasing attention has been given to incorporating the temporal nature of trip making into the travel demand modeling process. The vast majority of prior studies focused on daily urban trips. This study explores the timing–scheduling decision-making behavior for long, occasional, and exceptional travel, rather than habitual, repetitive trips. A long-distance trip is defined for this study as 50 mi or longer and 60 min or longer one way. An intensive preference survey was conducted to help expose those salient factors that affect time-of-day choice and help understand the prioritization among the variables and constraints. A multinomial logit model was then developed from the 2001 National Household Travel Survey daily-trip survey data. Various trip activity, personal, and household characteristics were examined. The time-of-day choice process for long-distance trips was found to be more complicated than that for daily short trips. Trip duration, activity duration, travel day type, whether traveling with other persons, and the presence of young children all had strong implications for the departure time choice for long-distance trips.
- Record URL:
- Summary URL:
-
Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/160602.aspx
-
Authors:
- Jin, Xia
- Horowitz, Alan J
- Publication Date: 2008
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 200-208
- Monograph Title: Travel Demand 2008
-
Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2076
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Choice models; Decision making; Departure time; Multinomial logits; Periods of the day; Travel demand
- Identifier Terms: 2001 National Household Travel Survey
- Uncontrolled Terms: Long distance travel
- Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01118265
- Record Type: Publication
- ISBN: 9780309125918
- Files: TRIS, TRB, ATRI
- Created Date: Jan 5 2009 4:22PM